Another approach to understanding sequential decision making has been to take advantage of simulations on Markov decision processes (MDP). As [1]} argues, long-term fairness dynamics are hard to evaluate, and so we need simulations to assess fairness over time. MDPs can also be formally analyzed for long-term effects on (group and individual fairness) as explored by [2]}, [3]}, [4]}, [1]}.
